Senior Analytics Engineer - Product (f/m/d)
Senior Analytics Engineer - Product (f/m/d)
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Job Description
About the Opportunity
We are seeking an experienced Analytics Engineer to join our Product Analytics team. In this role youll build analytics pipelines that help deliver actionable automated user insights from product adoption data. Youll collaborate directly with product analysts engineers and business stakeholders to build robust data integrations including Salesforce Gainsight JIRA and Github. Your work will be pivotal in empowering datadriven decisions across our organization significantly impacting product strategy and customer engagement.
What to expect
- Analytics Pipelines & Data Modeling: Convert existing product analyst queries and reports into efficient and maintainable analytics pipelines primarily using dbt and optimize data for selfservice analytics in Tableau.
- Owning Analytics Projects: Take ownership of mediumtolarge analytics projects from scoping through implementation.
- Product Event Data: Transform and maintain scalable product adoption datasets ensuring ease of downstream integration and rapid onboarding of new events or features.
- Data Egestion: Develop and manage data pipelines for exporting curated datasets from Redshift to platforms like Salesforce and Gainsight using reverse ETL tools (e.g. Hightouch).
- Data Ingestion: Own endtoend responsibility for ingesting key productivity data from platforms such as GitHub and JIRA into the data warehouse enabling accurate internal reporting and analysis.
- Event Schema Management: Collaborate closely with Software Engineers and Product Analysts to define manage and approve event schemas in Segment ensuring highquality data.
What you need to be successful
Critical:
- Analytics Engineering Experience: 5 years of experience as an Analytics Engineer or similar role.
- Data modeling and transformation: Expert in building scalable maintainable analytics pipelines using dbt SQL and Jinja for effective data modeling and transformation.
- Query performance optimization: Skilled at optimizing datasets for fast efficient querying in enterprisescale data warehouses such as AWS Redshift.
- Reverse ETL and integrations: Practical knowledge of reverse ETL tools like Hightouch for delivering curated datasets to systems including Salesforce and Gainsight.
- Event Data Management: Adept at working with product event datadefining schemas validating inputs and transforming raw events into structured analyticsready formats.
- Crossfunctional collaboration: Confident when engaging with analysts engineers product managers and business stakeholders to gather requirements and deliver actionable insights.
Desirable:
- BI tooling and performance: Wellversed in BI platforms such as Tableau with a focus on optimizing underlying data structures for dashboard performance.
- Ingestion and orchestration tools: Skilled in using pipeline orchestration and data ingestion tools such as Airflow and Stitch along with Python scripting for integrating diverse data sources.
- Largescale data processing: Proficient with distributed query engines like AWS Athena or SparkSQL for working with datasets at the scale of billions of rows.
- Event streaming data: Experienced in working with live streamed event data including transforming and modeling realtime inputs for analytics pipelines.
- LLMs and unstructured data: Able to apply LLM APIs and vector databases to analyze unstructured inputs including customer call transcripts.
- Testing and containerization: Comfortable using Docker for local pipeline testing and writing comprehensive dbt tests for analytics workflows.
Whats in it for you
- Join an ambitious tech company reshaping the way people build digital experiences
- Fulltime employees receive Stock Options for the opportunity to share in the success of our company
- Fertility and family building benefits including a lifetime reimbursable wallet to support your growing family.
- We value WorkLife balance and You Time! A generous amount of paid time off including vacation days sick days education days compassion days for loss and volunteer days
- Time off to care for and focus on your growing family
- Use your personal annual education budget to improve your skills and grow in your career
- Enjoy a full range of virtual and inperson events including workshops guest speakers and fun team activities supporting learning and networking exchange beyond the usual work duties
- An annual wellbeing stipend to care for your physical financial or emotional health
- A monthly communication phone/internet stipend and phone hardware upgrade reimbursement.
- New hire office equipment stipend for hybrid or distributed employees. Get the gear you need to work at your best.
#LIHybrid #LIAT1
Who are we
Contentful is a leading digital experience platform that helps modern businesses meet the growing demand for engaging personalized content at scale. By blending composability with native AI capabilities Contentful enables dynamic personalization automated content delivery and realtime experimentation powering nextgeneration digital experiences across brands regions and channels for more than 4200 organizations worldwide. More than 700 people from more than 70 nations contribute their energy and creativity to Contentful working from hubs in Berlin Denver San Francisco London New York and distributed worldwide.
Everyone is welcome here!
Everyone is welcome here is a celebrated component of our culture. At Contentful we strive to create an inclusive environment that empowers our employees. We believe that our products and services benefit from our diverse backgrounds and experiences and we are proud to be an equal opportunity employer. All qualified applications will receive consideration for employment without regard to race color national origin religion sexual orientation gender gender identity age physical disability or length of time spent unemployed. We invite you to apply and join us!
If you need reasonable accommodations at any point during the application or interview process please let your recruiting coordinator know.
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Required Experience:
Senior IC
Employment Type
Full Time
